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B-Spline CNNs on Lie Groups

B-Spline CNNs on Lie Groups

26 September 2019
Erik J. Bekkers
    AI4CE
ArXivPDFHTML

Papers citing "B-Spline CNNs on Lie Groups"

45 / 95 papers shown
Title
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant
  Networks on Homogeneous Spaces
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Edgar Dobriban
Kostas Daniilidis
23
19
0
16 Jun 2022
Learning Invariant Weights in Neural Networks
Learning Invariant Weights in Neural Networks
Tycho F. A. van der Ouderaa
Mark van der Wilk
22
21
0
25 Feb 2022
A precortical module for robust CNNs to light variations
A precortical module for robust CNNs to light variations
R. Fioresi
J. Petkovic
14
1
0
15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
M. Rath
A. P. Condurache
25
8
0
08 Feb 2022
Dilated convolution with learnable spacings
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
10
31
0
07 Dec 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by
  Riemannian Geometry on Lie Groups
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups
Hugo Aguettaz
Erik J. Bekkers
M. Defferrard
GNN
11
1
0
23 Nov 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Deformation Robust Roto-Scale-Translation Equivariant CNNs
Liyao (Mars) Gao
Guang Lin
Wei-wei Zhu
20
8
0
22 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Weitao Du
He Zhang
Yuanqi Du
Qi Meng
Wei-Neng Chen
Bin Shao
Tie-Yan Liu
53
79
0
26 Oct 2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie
  Groups
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David M. Knigge
David W. Romero
Erik J. Bekkers
16
30
0
25 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message
  Passing
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter
Rob D. Hesselink
Elise van der Pol
Erik J. Bekkers
Max Welling
17
229
0
06 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
33
39
0
05 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
56
137
0
09 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with
  Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang
Yuan-Bin Liu
Zhen Dong
Wenping Wang
3DPC
27
124
0
01 Sep 2021
Steerable Partial Differential Operators for Equivariant Neural Networks
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner
Maurice Weiler
20
27
0
18 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to
  previously unseen scales
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Ylva Jansson
T. Lindeberg
11
23
0
11 Jun 2021
Group Equivariant Subsampling
Group Equivariant Subsampling
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
26
21
0
10 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
32
22
0
07 Jun 2021
DISCO: accurate Discrete Scale Convolutions
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
20
31
0
04 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from
  Parameter-Space Correlators
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
Anindita Maiti
Keegan Stoner
James Halverson
23
20
0
01 Jun 2021
Symmetry-driven graph neural networks
Symmetry-driven graph neural networks
Francesco Farina
E. Slade
34
4
0
28 May 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
76
185
0
19 Apr 2021
Autoequivariant Network Search via Group Decomposition
Autoequivariant Network Search via Group Decomposition
Sourya Basu
A. Magesh
Harshit Yadav
L. Varshney
24
6
0
10 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
25
2
0
07 Apr 2021
Group Equivariant Conditional Neural Processes
Group Equivariant Conditional Neural Processes
M. Kawano
Wataru Kumagai
Akiyoshi Sannai
Yusuke Iwasawa
Y. Matsuo
BDL
45
20
0
17 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI
Rotation-Equivariant Deep Learning for Diffusion MRI
Philip Muller
Vladimir Golkov
V. Tomassini
Daniel Cremers
DiffM
MedIm
17
28
0
13 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups
LieTransformer: Equivariant self-attention for Lie Groups
M. Hutchinson
Charline Le Lan
Sheheryar Zaidi
Emilien Dupont
Yee Whye Teh
Hyunjik Kim
23
111
0
20 Dec 2020
Learning Equivariant Representations
Learning Equivariant Representations
Carlos Esteves
BDL
22
0
0
04 Dec 2020
Learning Invariances in Neural Networks
Learning Invariances in Neural Networks
Gregory W. Benton
Marc Finzi
Pavel Izmailov
A. Wilson
19
69
0
22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution
Trajectory Prediction using Equivariant Continuous Convolution
Robin G. Walters
Jinxi Li
Rose Yu
26
43
0
21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang
Maurice Weiler
32
53
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDL
AI4TS
26
13
0
21 Oct 2020
Sampling using $SU(N)$ gauge equivariant flows
Sampling using SU(N)SU(N)SU(N) gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
25
127
0
12 Aug 2020
Scale Equivariance Improves Siamese Tracking
Scale Equivariance Improves Siamese Tracking
Ivan Sosnovik
A. Moskalev
A. Smeulders
11
79
0
17 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
A. P. Condurache
ViT
AI4CE
27
9
0
30 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases
Discovering Symbolic Models from Deep Learning with Inductive Biases
M. Cranmer
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Rui Xu
Kyle Cranmer
D. Spergel
S. Ho
AI4CE
17
462
0
19 Jun 2020
Spin-Weighted Spherical CNNs
Spin-Weighted Spherical CNNs
Carlos Esteves
A. Makadia
Kostas Daniilidis
19
69
0
18 Jun 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
Valentin Oreiller
Vincent Andrearczyk
Julien Fageot
John O. Prior
A. Depeursinge
14
1
0
28 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Mirgahney Mohamed
Gabriele Cesa
Taco S. Cohen
Max Welling
MedIm
24
18
0
21 Apr 2020
Local Rotation Invariance in 3D CNNs
Local Rotation Invariance in 3D CNNs
Vincent Andrearczyk
Julien Fageot
Valentin Oreiller
X. Montet
A. Depeursinge
34
23
0
19 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
17
316
0
25 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to
  Histopathology Image Analysis
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
J. Pluim
R. Duits
M. Veta
MedIm
19
74
0
20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved
  Generalization
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin G. Walters
Rose Yu
AI4CE
46
167
0
08 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks
PDE-based Group Equivariant Convolutional Neural Networks
B. Smets
J. Portegies
Erik J. Bekkers
R. Duits
AI4CE
11
53
0
24 Jan 2020
A sub-Riemannian model of the visual cortex with frequency and phase
A sub-Riemannian model of the visual cortex with frequency and phase
Emre Baspinar
A. Sarti
G. Citti
11
12
0
11 Oct 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
165
308
0
05 Nov 2018
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